At a Glance
- Tasks: Design, build, and operate secure AI cloud platforms in a dynamic environment.
- Company: Join a leading hedge fund focused on AI innovation and infrastructure.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a commitment to continuous improvement.
- Why this job: Be at the forefront of AI technology and make a real impact in finance.
- Qualifications: Experience with public cloud platforms and AI service delivery is essential.
The predicted salary is between 70000 - 90000 £ per year.
This role sits at the intersection of our Front Office AI Technology team and Technology Infrastructure. It operates as the delivery and implementation function for our central AI capacity within the broader Infrastructure department. The position is responsible for deploying and operationalising the Front Office AI Technology team’s requirements by working hands-on with Technology Infrastructure to design, build, automate, and run AI-ready cloud platforms in production.
The Front Office AI Technology team focuses on enabling the development of AI capabilities within the investment environment. The team partners closely with Front Office stakeholders to identify, design, and develop AI-enabled solutions that enhance decision-making, efficiency, and insight, while operating within the firm’s risk, control, and regulatory constraints.
Our Technology Infrastructure team operates globally and is responsible for every aspect of the firm's hybrid platform, ranging from our EUC/Office environments to Trading and Core service Co-Location Data Centres, and extends to Public Cloud, delivering top-tier technology services to a dynamic and demanding Trading organisation. In addition to meeting the round-the-clock operational demands of the platforms, we continuously evolve and transform our platforms to maintain a competitive edge that our business requires.
The AI and Public Cloud Engineer is a highly technical, hands-on platform engineering role responsible for designing, building, automating, and operating secure cloud and AI platform foundations across a hybrid environment. The role exists to accelerate public cloud-based AI maturity while enabling enterprise and Front Office AI use cases through robust, well-governed infrastructure.
Working primarily across Microsoft Azure and later with AWS and GCP Gemini / VertexAI enablement, the role delivers secure by design platforms covering identity, networking, security, governance, automation, and cost control. The position focuses on the operational reality of AI services with supporting, integrating, and governing AI platforms and AI SaaS providers within a low risk tolerance, regulated environment.
This role offers a compelling opportunity to operate at the intersection of AI innovation and institutional-grade infrastructure, enabling next-generation AI capabilities within the investment environment of a leading hedge fund.
Experience required
- Public Cloud Platform Engineering (Azure/AWS/GCP): Deep hands-on experience engineering and operating Azure and/or AWS landing zones, including identity, networking, security baselines, governance, and hybrid connectivity. Working knowledge of GCP infrastructure sufficient to deploy, integrate, and operate Vertex AI / Gemini alongside existing cloud platforms.
- AI Platform Operations & Integration: Proven experience building, running, and supporting AI services across public cloud (Azure, AWS, GCP, etc.) and enterprise SaaS AI platforms (OpenAI Enterprise, Anthropic, etc.). Strong understanding of AI operational patterns including API-based model access, availability, monitoring, and governance rather than model development or data science.
- Hands-on experience designing and operating hybrid cloud connectivity (ExpressRoute / Direct Connect), including resilient routing, segmentation, and private access patterns. Strong practical knowledge of cloud network security, private endpoints, DNS integration, egress control, and zero-trust networking principles.
- Identity, Access Management & Security: Deep experience implementing cloud IAM (Azure Entra ID, AWS IAM), RBAC, privileged access, MFA, and workload identity patterns. Practical application of security-by-design principles across cloud and AI platforms, including least privilege, auditability, and controlled access to sensitive data.
- Infrastructure as Code & Automation: High proficiency in Infrastructure as Code (Terraform, Bicep, CloudFormation/CDK) to deliver repeatable, governed cloud platforms. Strong scripting or development capability (Python, Bash, PowerShell) to automate platform operations, integrations, and CI/CD workflows.
- Governance, Compliance & Cost Management: Experience implementing cloud governance frameworks including policy enforcement, tagging standards, compliance automation, and environment guardrails. Practical experience managing cloud cost controls and consumption optimisation, particularly for AI and data-intensive workloads.
- Hands-on experience applying data classification, DLP, and AI usage controls to protect sensitive data across cloud and SaaS AI services. Working knowledge of enterprise AI security and governance standards aligned to regulated or low risk tolerance environments.
- Platform Support & Operational Excellence: Demonstrated experience supporting production cloud platforms, including incident response, resilience testing, and operational improvement. Ability to balance critical BAU support with ongoing platform engineering and transformation work in time-sensitive environments.
About you
The ideal candidate is a highly technical, hands-on platform engineer with demonstrable broad-range skills and deep experience in public cloud infrastructure and AI service delivery. You have a proven track record in problem-solving, balancing critical operational support with advanced engineering initiatives in fast-paced, demanding environments. You are passionate about emerging cloud and AI technologies, eager to build innovative solutions that enhance technology performance while naturally understanding the need for rapid delivery balanced against business risk and operational constraints.
You appreciate the importance of security, governance, and cost discipline in enterprise cloud deployments, especially when enabling AI capabilities that require strong data protection and regulatory alignment. You have excellent communication and organisational skills, working effectively both independently and as part of cross-functional teams across Technology Infrastructure, Cybersecurity, Application Development, and Front Office stakeholders. Your commitment to continuous improvement is evident in both learning from others and sharing knowledge to enhance team capability and platform maturity.
BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.
AI Cloud Platform Engineer employer: BlueCrest Capital Management
At BlueCrest, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration at the forefront of AI technology. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that values diversity and inclusion. Located in a vibrant hub for technology and finance, we provide our team with the unique advantage of working on cutting-edge projects that shape the future of investment environments while ensuring a balanced approach to operational excellence and risk management.
Contact Details:
BlueCrest Capital Management Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and cloud platforms. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you’d tackle real-world problems in AI and cloud engineering – they love to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent like yours, and applying directly can give you a leg up in the process.
We think you need these skills to ace AI Cloud Platform Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with public cloud platforms like Azure, AWS, and GCP. We want to see how your skills align with the specific requirements of the AI Cloud Platform Engineer role.
Showcase Your Technical Skills:Don’t hold back on showcasing your hands-on experience with Infrastructure as Code tools like Terraform or Bicep. We’re looking for candidates who can demonstrate their technical prowess in building and operating secure cloud platforms.
Highlight Problem-Solving Abilities:We love candidates who can think on their feet! Share examples of how you've tackled challenges in fast-paced environments, especially when it comes to balancing operational support with engineering initiatives.
Apply Through Our Website:Remember, the best way to apply is through our website. It’s super easy and ensures your application gets to the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at BlueCrest Capital Management
✨Know Your Cloud Platforms Inside Out
Make sure you’re well-versed in Azure, AWS, and GCP. Brush up on the specifics of deploying and operating cloud environments, especially focusing on identity management, networking, and security. Being able to discuss your hands-on experience with these platforms will show that you’re ready to hit the ground running.
✨Demonstrate Your AI Knowledge
Since this role is all about AI capabilities, be prepared to talk about your experience with AI services and how they integrate into cloud platforms. Highlight any projects where you’ve built or supported AI solutions, and be ready to discuss operational patterns and governance in a regulated environment.
✨Showcase Your Automation Skills
Familiarise yourself with Infrastructure as Code tools like Terraform or Bicep. Be ready to share examples of how you’ve automated platform operations or CI/CD workflows. This will demonstrate your ability to deliver repeatable and governed cloud platforms, which is crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in previous roles, particularly around balancing operational support with engineering initiatives. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
